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INTERSPEECH
2010
15 years 1 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
ML
2010
ACM
135views Machine Learning» more  ML 2010»
15 years 1 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
TIP
2010
157views more  TIP 2010»
15 years 1 months ago
Directional Filtering Transform for Image/Intra-Frame Compression
Abstract--While directional adaption is introduced into traditional transforms, different orders of two 1-D transforms will result in different results of one 2-D transform. Based ...
Xiulian Peng, Jizheng Xu, Feng Wu
AIED
2011
Springer
14 years 10 months ago
Self-assessment of Motivation: Explicit and Implicit Indicators in L2 Vocabulary Learning
Self-assessment motivation questionnaires have been used in classrooms yet many researchers find only a weak correlation between answers to these questions and learning. In this pa...
Kevin Dela Rosa, Maxine Eskenazi
CORR
2012
Springer
272views Education» more  CORR 2012»
14 years 2 months ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...